JP2003326437A - Machining device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a machining device capable of swiftly detecting a machining anomaly. <P>SOLUTION: The machining device is provided with a machining anomaly first determining part 51 determining the machining anomaly on the basis of a detected value of a current sensor 49 detecting a machining state during machining of a cutting machine, a machining anomaly second determining part 52 determining the machining anomaly on the basis of a detected value of a tool length measuring machine 50 detecting a tool state in times other than during machining of the cutting machine, and a machining anomaly determination control part 53 determining the machining anomaly by determining a usage method or a usage sequence of the current sensor 49 or the tool length measuring machine 50 on the basis of a determination result of either one of the first determining part 51 or the second determining part 52. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a machining apparatus that detects an abnormality in machining operation and performs optimum machining.

[0002]

2. Description of the Related Art FIG. 9 is a front view showing another conventional machining apparatus, which is an NC machine tool "MAZAKMAZATECH".
H-400 H-500 / 400 (registered trademark) "is described in the handling and maintenance manual. In the figure, 83 is an NC machine tool, 84 is a drill as a tool,
Reference numeral 85 is a work as a workpiece, 86 is a drive unit for relatively moving the drill 84 and the work 85, and 87 is a tool length measuring sensor for measuring the length of the drill 84.

Next, the operation will be described. When a tool exchange command is issued on the machining program during machining, the NC machine tool 83 moves the drill 84, and the tool length measuring sensor 87 measures the drill length. If the measured drill length is shorter than the specified range, an alarm is displayed as a broken drill.

[0004]

Since the conventional machining apparatus is constructed as described above, not only can the drill breakage at the time of measurement be detected, but also the tool can be moved to a predetermined position after machining. There is a problem that it takes time to measure the tool length, which is an obstacle to improving machining efficiency.

The present invention has been made to solve the above problems, and an object of the present invention is to provide a processing apparatus capable of promptly detecting a processing abnormality.

[0006]

A machining apparatus according to the present invention includes a machining abnormality first determination unit for determining abnormality of machining based on a detection value of a first sensor for detecting a machining state of a machining machine during machining. , The second to detect the state of the tool other than during machining
A first sensor based on a determination result of one of a machining abnormality second determination unit that determines machining abnormality based on a detection value of a sensor, and the machining abnormality first determination unit or the machining abnormality second determination unit. Alternatively, it is provided with a machining abnormality determination control unit that determines a usage method or a usage sequence of the second sensor and determines a machining abnormality.

[0007]

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of the present invention will be described below. Reference example 1. FIG. 1 is a block diagram showing a main part of a control system of a machining apparatus according to Reference Example 1, and FIG. 2 is a diagram showing an example of a machining program discriminated by a designated operation discriminating unit. In FIG. 1, reference numeral 1 is a drive and mechanism section for performing a drive operation of a lathe, drilling machine, etc., 2 is a control section for controlling the operation of the drive and mechanism section 1, 2a is an output signal output from the control section 2,
It is also an input signal to the drive and mechanism unit 1. 3 is a processing machine as a control system having the drive and mechanism section 1 and the control section 2 and 4 is a command signal for instructing the position or speed of the processing machine 3. The control section of the processing machine 3 is controlled by an input device (not shown). Entered in 2.

Reference numeral 5 is an output signal detected by a detector (not shown) for detecting the position or speed of the machining operation unit 9 which will be described later, 6 is a subtracter for subtracting the output signal 5 from the command signal 4, and 7 is machining applied to the machining machine 3. Disturbances such as reaction force, 8 is observation noise such as sensor quantization error that is observed when applied to the processing machine 3, 9
Is an observation noise application unit. The subtractor 6, the control unit 2, the drive / mechanism unit 1, and the observation noise applying unit 9 each form a part of the processing machine 3.

Reference numeral 10 is an internal state quantity signal representing an actual internal state quantity such as a machining position, a machining speed, a torque, and a machining force of the machining machine 3, and 11 is a control unit model modeling the control unit 2, and a command signal. The drive and mechanism unit model 12 described later is controlled so as to follow No. 4. The control unit model 11 has the same configuration as that of the known control unit 2 or is modeled by using only its main part as necessary. Reference numeral 12 is a drive and mechanism unit model that models the drive and mechanism unit 1, and is modeled by assembling and modeling each element obtained from the design drawing of the drive and mechanism unit 1 or by identifying.

Reference numeral 13 denotes a control unit model 11 and a drive / mechanical unit model 12, and an internal state amount calculation unit for calculating an internal state amount of the processing machine 3 based on a command signal 4 is provided.
Reference numeral 4 is an output signal of the drive and mechanism unit model 12. 15
Is a subtracter for subtracting the output signal 14 from the command signal 4, which also constitutes a part of the internal state quantity calculation unit 13. Reference numeral 16 denotes an internal state quantity signal representing the internal state quantity calculated by the internal state quantity calculation unit 13, which is an estimated value in the state where the disturbance 7 and the observation noise 8 are absent.

Reference numeral 17 is a state quantity comparing section for comparing the internal state quantity signal 10 and the internal state quantity signal 16 to obtain a value corresponding to a machining reaction force or torque, and 18 is a machining quantity calculated by the state quantity comparing section 17. It is an abnormality detection unit that determines whether or not there is a processing abnormality of the processing machine 3 based on the result of force or the like. Reference numeral 19 designates a designated operation discriminating unit which discriminates that a predetermined instruction in the machining program is being executed and outputs a designated operation in-progress signal 20 when a tool exchanging operation is started by a machining program designated in advance. Is.

Reference numeral 21 designates a command signal 4 and an output signal 2 when the designated operation in-progress signal 20 from the designated operation discriminating section 19 is inputted.
a, using all or part of the output signal 5,
This is a model correction unit that identifies the drive and mechanism model 12 by the recursive least squares method and outputs the result as a model correction signal 22.

Next, the operation will be described. For example, when the processing machine 3 is a cutting processing machine, a processing abnormality is detected by looking at the processing reaction force or torque applied during processing. Here, in the control system for driving the feed shaft or the main shaft of the processing machine 3, the processing reaction force or torque becomes the disturbance 7. The control unit 2 in the processing machine 3 controls and operates the drive / mechanism unit 1 so as to follow the command signal 4 representing the position or speed under the condition of receiving the disturbance 7 and the observation noise 8. At this time, the internal state quantity signal 10 output from the control unit 2 is affected by the disturbance 7 and the observation noise 8.

On the other hand, the control unit model 11 in the internal state quantity calculation unit 13 performs the calculation for controlling and operating the drive and mechanism unit model 12 so as to follow the command signal 4. Therefore,
The internal state quantity signal 16 output from the internal state quantity calculator 13 is an estimated value in the situation where there is no disturbance 7 and observation noise 8.

The state quantity comparison unit 17 compares the internal state quantity signal 10 as an actual measurement value from the processing machine 3 with the internal state quantity signal 16 as an estimated calculation value from the internal state quantity calculation unit 13 to perform processing. Find the value corresponding to the reaction force or torque.

The abnormality detecting section 18 detects and determines an abnormality in processing based on a value corresponding to the processing reaction force or torque. This abnormality determination method is, for example, the internal state signal 1
Appropriate filtering processing, statistical processing, or both are performed on each of 0 and 16 to remove calculation errors and noise components. In addition, a method of extracting a more characteristic component representing an abnormality of the processing machine 3 is also conceivable.

Although the abnormality detecting section 18 can detect an abnormality by the above-described operation, the characteristics of the drive and mechanism section 1 are not always constant, and may vary temporally and spatially. If the value changes, the accuracy of the abnormality detection result deteriorates, causing a problem in processing.

The model correction unit 21 and the designated operation determination unit 19
Operates to prevent such deterioration.
That is, the designated operation determination unit 19 outputs the designated operation in-progress signal 20 when the tool replacement operation is started by the previously designated machining program. This designated operation determination unit 19
The operation will be described in more detail with the machining program shown in FIG. 2 as an example.

In FIG. 2, STEPs 1 to 8 are machining programs, STEPs 1 and 5 are tool change commands, and ST.
EP2, 4, 6, and 8 are commands for positioning, STEP
3 and 7 are commands for cutting feed. Designated action determination unit 19
Detects that the machining program is executing STEP1 and STEP5 and outputs the designated operation in-progress signal 20.

The model correction section 21 includes a designated operation determination section 19
When the designated operation in-progress signal 20 is input, all or part of the command signal 4, the output signal 2a, and the output signal 5 is used to identify the drive and mechanism part model 12 by the recursive least squares method. And outputs the result as the model correction signal 22. The drive and mechanism model 12 is modified by the model modification signal 22 and replaced with a better model, which improves the accuracy of the anomaly detector 18.

As described above, according to this reference example 1, even if the characteristics of the drive and mechanism unit 1 change, the drive and mechanism unit model 12 is modified by the model modification signal 22 and replaced with a better model. Therefore, it is possible to obtain an effect that the abnormality detection unit 18 can accurately detect the processing abnormality.

In the reference example 1, the tool change is being performed as the designated operation used in the designated operation discriminating section 19.
The present invention is not limited to this, and positioning operations STEP 2, 4, 6, 8
Any operation that is clear that actual machining will not be performed, such as medium and small sections at the start of cutting feed, may be used. Further, although the recursive least squares method is used as the identification algorithm in the model correction unit 21, other algorithms such as identification by fuzzy inference can be realized.

Reference Example 2. This reference example 2 relates to a processing device for predicting or detecting tool breakage in drilling, which is one of typical cutting processes.

FIG. 3 is a block diagram showing a main part of a control system of the processing apparatus according to the second reference example. In the drawings relating to all of the following embodiments, the same reference numerals are given to the same or corresponding components as those of the embodiments described before the embodiment, and the description thereof will be omitted. In the figure, reference numeral 23 is a machining material designating section for outputting a tool material signal 24 and a workpiece material signal 25. The contents of the tool material signal 24 and the workpiece material signal 25 are preliminarily set by an operator of the machining machine 3. Is set. Reference numeral 26 is a state quantity signal such as a processing reaction force according to the method shown in Reference Example 1, which is detected and output by an external sensor (not shown).

Reference numeral 27 is a signal processing unit for signal-processing the state quantity signal 26 by using a cutoff frequency 29 determined by a signal processing changing unit 28 described later.
28 is the input tool material signal 24 and the workpiece material signal 2
5 is a signal processing changing unit that determines a cutoff frequency 29 of a low-pass filter (not shown) that removes various noises according to the combination of 5. Reference numeral 30 is an abnormality detection unit that predicts or detects tool breakage by comparing a preset threshold value with the output from the signal processing unit 27.

Next, the operation will be described. The operator of the processing machine 3 sets the contents of the tool material signal 24 and the workpiece material signal 25 in the processing material designating section 23 in advance. The state of the processing reaction force changes depending on the combination of the material of the tool and the material of the work piece, and the pattern of the processing reaction force for one hole when the tool breakage is close to being In the process changing unit 28, the cutoff frequency 29 of the low pass filter is set as follows according to the combination of the tool material and the workpiece material. (1) When the tool is high-speed steel and the workpiece is steel The cause of breakage is that the chip reaction is large and the machining reaction force increases sharply in the deep part of the hole. Further, the vibration component appearing in the reaction force during the processing of one hole is small. Therefore, the cutoff frequency 29 is set high. (2) When the tool is high-speed steel and the work piece is aluminum, the cause of breakage is that the machining reaction force increases sharply in the deep part of the hole due to the large amount of chip clogging. Further, the vibration component appearing in the reaction force during the processing of one hole is small. Therefore, the cutoff frequency 29 is set high. (3) When the tool is a high speed steel and the work is a casting The cause of breakage is that the cutting reaction force increases overall from the shallow part to the deep part of the hole because of the poor sharpness of the tool. Further, the vibration component appearing in the reaction force during the one-hole machining for chipping is large. Therefore, the cutoff frequency 29 is set low.

The signal processing unit 27 processes the state quantity signal 26 output from the processing machine 3 by using the cutoff frequency 29 determined as described above. Then, the abnormality detection unit 30 predicts or detects tool breakage by comparing a predetermined output processed by the signal processing unit 27 with a preset threshold value. That is, it is possible to stably detect a machining abnormality according to the contents of the machining material and the material of the workpiece set by the operator.

As described above, according to the second reference example, it is possible to obtain a stable detection of a machining abnormality according to the contents of the machining material and the workpiece material set by the operator.

In the reference example 2, the change of the signal processing with respect to the processing reaction force during the processing of one hole has been described.
It can also be used when knowing the change in the processing status during a large number of hole drilling operations by using the representative value during drilling. In other words, if the peak value of the machining reaction force is adopted as a representative value during 1-hole machining, the behavior of the peak value of the machining reaction force until the combination of materials and the breakage of the tool has the following tendency. ,
Anomaly detection can be effectively performed by performing the following statistical processing. (1) When the tool is high-speed steel and the work piece is steel, wear progresses rapidly, and the peak value of the processing reaction force during one-hole processing tends to increase monotonically. Therefore, the peak values of a plurality of processing reaction forces are averaged. (2) When the tool is cemented carbide and the work piece is aluminum, there is almost no progress of wear, and the welding reaction of aluminum to the tool and the lack thereof cause the peak value of the processing reaction force to become oscillating, and finally when welding The peak value of processing reaction force becomes excessive. Therefore, the peak value of the processing reaction force is checked as it is.

Further, in the second reference example, the contents of the processing material in the processing material designating section 23 are described as being set by the operator of the processing machine 3, but the present invention is not limited to this, and the CAM is not limited to this.
May be input as information from.

Further, the state quantity signal 26 has been described as a processing reaction force according to the method shown in Reference Example 1, but a sensor such as a cutting force dynamometer, a vibrometer, an AE sensor, etc. added for measuring the processing state. May be output.

Reference Example 3. This reference example 3 relates to a processing apparatus capable of classifying an abnormal situation of drilling, which is one of typical cutting processes, and optimally controlling a processing machine according to the classification result.

FIG. 4 is a block diagram showing the main part of the control system of the machining apparatus according to the reference example 3, in which 26 is the above-mentioned state quantity signal, which uses the thrust force and torque in the drilling. . Reference numeral 31 is a machining operation / machining condition designating unit that determines a machining program and machining conditions based on information such as tool material and workpiece material and sends them to the machine 3. For example, in the case of drilling, the presence / absence of step feed machining, the spindle speed, and the feed rate are determined.

Reference numeral 32 is a machining abnormality classification result which is judged by the abnormality detecting section 30 as a machining abnormality based on the information on the thrust force and torque which is the state quantity signal 26, and which is classified and output according to the abnormality situation, for example, It is output as information such as "progress of tool wear" and "clogging of chips". More specifically, (1) when the thrust force and torque are both increased, it is output as "progress of tool wear", and (2) when the torque is increased and the increase in thrust force is small, It is output as "clogging of chips".

Reference numeral 33 is a machining operation / machining condition change signal 34 for changing the machining operation / machining condition according to the machining abnormality classification result 32, the tool material signal 24, and the workpiece material signal 25. This is a machining operation / machining condition changing unit (machining condition changing unit) which is output to the designation unit 31. For example, as the machining operation / machining condition change signal 34, changes in the feed rate, the spindle rotational speed, etc., and the addition of step feed operation are output.

Next, the operation will be described. In normal machining, the machining operation / machining condition designation unit 31 determines a machining program and machining conditions based on information such as machining material,
It is sent to the processing machine 3. If a processing abnormality is detected,
The machining operation / machining condition changing unit 33 determines the machining abnormality classification result 3
Depending on 2, the machining operation / machining condition change signal 3
4 is output to the machining operation / machining condition designation unit 31.

That is, the processing abnormality classification result 32 is
(1) Decrease the feed rate if "tool wear has progressed", and (2) perform step feed operation if "step clogging" has not been performed if "chip clogging" has occurred. It is determined. The machining operation / machining condition designation unit 31 changes the operation of the processing machine 3 in real time based on the machining operation / machining condition change signal 34.

As described above, according to this reference example 3, the abnormal conditions of machining are classified, and the machining machine 3 is classified according to the classification result.
The effect of optimally controlling

In the reference example 3, the drilling, which is one of the typical cutting processes, has been described as an example, but the present invention is not limited to this, and other processes such as lathe machining may be used.

Further, the machining abnormality classification result 32 and the machining operation /
Although no display means is provided so that the operator can understand the contents of the processing condition change signal 34, such display means is
It may be provided by a well-known and commonly used means such as RT. As a result, the operator can easily know the result automatically determined by the processing apparatus, and can effectively reflect the result in the subsequent processing.

Reference Example 4. The reference example 4 relates to a processing apparatus capable of detecting an abnormal situation of drilling based on the information on the processed hole depth.

FIG. 5 is a block diagram showing the main part of the control system of the processing apparatus according to the reference example 4, and FIG. 6 is a graph showing the relationship between the processing reaction force estimated value and the processing reaction force estimated time. In FIG. 5, reference numeral 35 denotes a machining hole depth designating section which outputs a machining hole depth designating value 36 input by the operator of the machining machine 3, and 37 estimates the machining reaction force of the machining machine 3 and estimates the machining reaction force. Machining reaction force estimation unit that outputs a value 38, 39 estimates a machining hole depth based on the machining reaction force estimation value 38, and a machining hole depth estimation unit that outputs a machining hole depth estimation value 40, 41 denotes machining This is a machining abnormality detection unit that determines a machining abnormality based on the hole depth designation value 36 and the machining hole depth estimated value 40, and outputs a machining abnormality signal 42 if there is an abnormality.

Next, the operation will be described. The machining hole depth designation value 36 input by the operator of the machining machine 3 is output by the machining hole depth designating unit 35.

On the other hand, the machined hole depth estimation section 39 estimates the machined hole depth based on the machined reaction force estimation value 38 from the machined reaction force estimation section 37 and outputs a machined hole depth estimated value 40. This processed hole depth estimated value 40 is obtained based on FIG. 6 and the following equation.

That is, in FIG. 6, td is the estimated machining time, which is defined as the time during which the estimated machining reaction force value 38 exceeds a preset value during cutting feed. Using the estimated machining time td, the estimated machining hole depth value 40 is obtained by the following equation. Estimated hole depth 40 =
(Feed speed) x td

Then, the machining abnormality detecting section 41 divides the estimated machining hole depth value 40 by the designated machining hole depth value 36, and the quotient becomes 1.1 or more or 0.9 or less. , A processing abnormality signal 42 is output. When this machining abnormality signal 42 is output, it means that the machining of the desired hole depth has not been realized, and the causes are roughly classified into (1) machining program error and (2) tool abnormality. Especially, the tool may be broken.

Therefore, when the machining abnormality signal 42 is output, for example, the machining machine 3 (1) "displays a machining program check alarm", (2) "stops machining", and (3) " Replace the tool with a spare tool and continue machining. "

As described above, according to the fourth reference example, it is possible to obtain the effect that the machining abnormality can be detected based on the machining hole depth information, that is, the machining hole depth specified value 36 and the machining hole depth estimated value 40. . Further, since the complicated calculation of the machining start time is unnecessary, the effect of improving the reliability can be obtained.

In the fourth reference example, the machining abnormality detection unit 41 determines the machining abnormality as the machining hole depth estimated value 4
Although the ratio is set to 0 and the designated depth 36 of the machined hole, the difference may be used, that is, the length value may be used for the determination.

Further, although it has been described that the operator inputs the machined hole depth as the machined hole depth specified value 36 in the machined hole depth designating section 35, the value of CAD or CAM is automatically set to the value below. May be obtained, in which case
Further efficient processing can be expected.

Reference Example 5. The reference example 5 relates to a machining device that automatically learns the hole depth of the drilling process that should be specified by the operator and can easily detect the breakage of the drill without the operator setting special parameters. In addition, here, of the machining abnormalities assumed in Reference Example 4, it is assumed that the machining program is not erroneous and the tool does not break during drilling immediately after the tool replacement.

FIG. 7 is a block diagram showing the main part of the control system of the machining apparatus according to the reference example 5. In the figure, reference numeral 43 denotes the same drilling operation after tool exchange in the machining in which the same machining program is repeatedly executed. This is a machined hole depth learning unit that calculates an average value of the machined hole depth estimated value 40 for three times and outputs that value as a machined hole depth learning value 44. Reference numeral 41 denotes a machining abnormality detection unit that detects a machining abnormality in the fourth and subsequent drilling operations using the machining hole depth learning value 44 and the machining hole depth estimated value 40.

Next, the operation will be described. The machined hole depth learning unit 43 calculates an average value of the machined hole depth estimation values 40 in the same three drilling operations after the tool change, and outputs this as a machined hole depth learning value 44. Machining abnormality detector 4
1, the machining hole depth learning value 44 and the machining hole depth estimated value 40
And are used to detect machining abnormality in the fourth and subsequent drilling operations.

As described above, according to this reference example 5, since the machined hole depth to be designated by the operator is automatically learned and is output as the machined hole depth learning value 44, the operator is special. Even if the parameter is not set, it is possible to easily detect the breakage of the drill.

In the fifth embodiment, the machined hole depth learning value 44 is an average value of three times of the same drilling work, but it is not particularly limited to three times and may be any number of times.

Further, when the average value of three times is used and the variation of the estimated hole depth value 40 is large, three more times may be used for learning, or an alarm is displayed. May be.

Further, instead of limiting the learning to several times after the tool change, the previous machining hole depth estimated value 40 may be used as the present machining hole depth learning value 44. The average value of the past several times may be used as the processed hole depth learning value 44.

Further, the machining hole depth estimation value 40 and the machining hole depth learning value 44 are displayed on the CRT so that the operator can understand them.
It may be displayed by other well-known and commonly used means. In this case, the operator can confirm the depth of the hole during processing, and can easily check the quality of the processing.

Embodiment 1. The first embodiment relates to a machining apparatus that makes a second machining abnormality determination using a tool length measuring device only when the first machining abnormality determination result using a current sensor is doubtful.

FIG. 8 is a block diagram showing a main part of a control system of the processing apparatus according to the first embodiment of the present invention. In the figure, 45 is a mechanism of the processing machine, 46 is a drive unit for driving the mechanism 45, and 47 is a mechanism. Is a control unit that feedback-controls the drive unit 46, 48 is a command value generation unit that outputs a control command value to the control unit 47, and 49 is a drive current (detection value) of the drive unit 46 during processing.
Is a current sensor (first sensor) that measures the machining current, and performs the machining abnormality by estimating the machining reaction force, the machining torque, and the like from the current value by the method described above.

Reference numeral 50 is a tool length measuring device (second sensor) for measuring the length of the tool after machining, 51 is a machining abnormality first determining section for determining machining abnormality using the value of the current sensor 49, and 52 is a tool. A machining abnormality second determination unit for determining machining abnormality based on the tool length (detection value) obtained by the length measurement device 50, 53 is a tool length measurement device according to the determination result of the machining abnormality first determination unit 51. It is a processing abnormality determination control unit that changes the determination using 50.

Next, the operation will be described. When the pattern of the processing reaction force estimated from the value of the current sensor 49 obtained during the processing is appropriate, the processing abnormality first determination unit 51 determines that it is normal. Upon receipt of this determination result, the machining abnormality determination control unit 53 uses the tool length measuring device 50 to reduce the machining time.
The command value generation unit 48 is instructed to shift to the next processing without performing the processing determination using. Then, the command value generation unit 48 outputs the control command value to the control unit 47 to advance to the next machining.

On the other hand, when the pattern of the processing reaction force estimated from the value of the current sensor 49 obtained during the processing is too large or the time is too short, the processing abnormality first determination unit 51 may cause the processing abnormality. Judge as high. Upon receiving this determination result, the machining abnormality determination control unit 53 instructs the command value generation unit 48 to perform the determination using the tool length measuring device 50 to confirm the machining abnormality. The instructed command value generating unit 48 generates a command value, and causes the machining abnormality second determining unit 52 to reliably perform the machining abnormality determination using the tool length measuring device 50.

As described above, according to the first embodiment, the machining abnormality determination using the tool length measuring device 50 is performed only when the machining abnormality determination result using the current sensor 49 is doubtful. Therefore, it is possible to obtain the effect that highly reliable machining abnormality determination can be performed in a short time.

In the first embodiment described above, it is assumed that the tool length measuring instrument 50 is used only when the machining abnormality first determination unit 51 determines that there is a high possibility of machining abnormality. However, on the contrary, normally, the determination is performed using the tool length measuring device 50, and only when the machining abnormality first determination unit 51 determines that the possibility of the machining abnormality is low, The determination using the length measuring device 50 may be omitted.

Further, the configuration may be such that the determination using the tool length measuring device 50 can be performed more carefully depending on the degree of the machining abnormality determination using the current sensor 49.

Further, the frequency of performing the second machining abnormality determination may be changed according to the result of the machining abnormality determination using the current sensor 49.

Further, the current sensor 4 is used as the first sensor.
Although the description has been made assuming that 9 is used, a position sensor such as a rotary encoder normally attached to the drive motor, a speed sensor, or the like may be used.

[0069]

As described above, according to the present invention, a machining abnormality first determining section for determining abnormality of machining based on the detection value of the first sensor for detecting the machining state of the machining machine during machining,
A machining abnormality second determination unit that determines a machining abnormality based on a detection value of a second sensor that detects a tool state other than during machining of a processing machine, the machining abnormality first determination unit, or the machining abnormality second determination unit It is configured to include a machining abnormality determination control unit that determines the method of use or the order of use of the first sensor or the second sensor based on the determination result of one of the above, and determines a machining abnormality. Only when the processing abnormality determination result is doubtful, the other processing abnormality determination can be performed, and there is an effect that highly reliable processing abnormality determination can be performed in a short time.

[Brief description of drawings]

FIG. 1 is a block diagram showing a main part of a control system of a processing apparatus according to a reference example 1.

FIG. 2 is a diagram showing an example of a machining program determined by a designated operation determination unit.

FIG. 3 is a block diagram showing a main part of a control system of a processing apparatus according to a reference example 2.

FIG. 4 is a block diagram showing a main part of a control system of a processing apparatus according to a reference example 3.

5 is a block diagram showing a main part of a control system of a processing apparatus according to a reference example 4. FIG.

FIG. 6 is a graph showing a relationship between a processing reaction force estimated value and a processing reaction force estimated time.

FIG. 7 is a block diagram showing a main part of a control system of a processing apparatus according to a reference example 5.

FIG. 8 is a block diagram showing a main part of a control system of the processing apparatus according to the first embodiment of the present invention.

FIG. 9 is a front view showing another conventional processing apparatus.

[Explanation of symbols]

1 drive and mechanism part, 2,47 control part, 3 processing machines,
4 command signal, 10, 16 internal state quantity signal, 11 control section model, 12 drive and mechanism section model, 13 internal state quantity calculation section, 17 state quantity comparison section, 18 abnormality detection section, 19 designated operation determination section, 20 designated Active signal, 2
1 Model Modifying Section, 23 Machining Material Designating Section, 24 Tool Material Signal, 25 Workpiece Material Signal, 26 State Quantity Signal, 27 Signal Processing Section, 28 Signal Processing Change Section, 30
Abnormality detection part, 31 Machining operation / machining condition designation part, 32
Machining abnormality classification result, 33 Machining operation / machining condition change section,
35 Machining Hole Depth Designation Part, 36 Machining Hole Depth Designation Value, 37
Machining reaction force estimation unit, 38 Machining reaction force estimation value, 39 Machining hole depth estimation unit, 40 Machining hole depth estimation value, 41 Machining abnormality detection unit, 44 Machining hole depth learning value, 49 Current sensor (first sensor) ), 50 tool length measuring device (second sensor), 5
1 machining abnormality first determination unit, 52 machining abnormality second determination unit,
53 Machining abnormality determination control unit.

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Tomonori Sato             2-3 2-3 Marunouchi, Chiyoda-ku, Tokyo             Inside Ryo Electric Co., Ltd. F term (reference) 2F076 BA18 BD10 BD12 BD17 BD19                       BE01 BE02 BE06 BE09 BE13                 3C029 AA21 CC01 CC05

Claims (2)

[Claims] 1. A machining abnormality first determining unit for determining a machining abnormality based on a detection value of a first sensor for detecting a machining state of the machining machine during machining, and a tool state of the machine other than during machining. Based on the determination result of one of the processing abnormality second determination unit that determines processing abnormality based on the detection value of the second sensor, and the processing abnormality first determination unit or the processing abnormality second determination unit, A processing apparatus including a processing abnormality determination control unit that determines a processing method or a usage order of the first sensor or the second sensor to determine processing abnormality. 2. The first sensor is a sensor having one or more of current, position and / or speed of the drive unit, and the second sensor is a tool length measuring instrument. Processing equipment.